<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Principle Components Analysis</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">7</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">O.Conrad (c) 2010</td></tr></table><hr><h4>Description</h4>Principle Components Analysis (PCA) for tables. Implementation based on F. Murtagh's <a target="_blank" href="http://lib.stat.cmu.edu/multi/pca.c">code</a> as provided by the <a target="_blank" href="http://lib.stat.cmu.edu">StatLib</a> web site.

References:
Bahrenberg, G., Giese, E., Nipper, J. (1992): Statistische Methoden in der Geographie 2 - Multivariate Statistik. pp.198-277.
<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Table </td><td>Table (input)</td><td>TABLE</td><td></td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Principle Components (*)</td><td>Table (optional output)</td><td>PCA</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Attributes</td><td>Parameters</td><td>FIELDS</td><td></td><td>0 Parameters:
</td></tr><tr><td>Method</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] correlation matrix
[1] variance-covariance matrix
[2] sums-of-squares-and-cross-products matrix
Default: 1</td></tr><tr><td>Number of Components</td><td>Integer</td><td>NFIRST</td><td>maximum number of calculated first components; set to zero to get all</td><td>Minimum: 0
Default: 3</td></tr></table>(*) <i>optional</i>